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APNet: Accurate Positioning Deformable Convolution for UAV Image Object Detection IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 Peiran Zhang, Guoxin Zhang, Kuihe Yang
Unmanned aerial vehicle (UAV) image object detection, in recent years, has been receiving increasing attention for its wide application in military and civil fields. Current object detection methods perform well in generic scenarios, while vast small objects and extremely dense distribution in UAV images make it difficult to capture them, resulting in sub-optimal performance. In this paper, we propose
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A fingerprint location framework for uneven WiFi signals based on machine learning IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 Xu Lu, Kejie Zhong, Zhiwei Guan, Jun Liu
WiFi fingerprint positioning is a common method for indoor location determination. Existing methods are susceptible to fluctuations in WiFi signal strength during the offline phase, leading to unevenly received signals. Additionally, during online positioning, there is a lack of integration with historical trajectory information. These problems can result in errors in both offline fingerprint acquisition
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Biomedical engineering research in Chilean universities - A bibliometric analysis IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 Javiera Vásquez-Salgado, Rosa L. Figueroa, Julio Sotelo, Manuel Villalobos-Cid
Biomedical engineering (BME) combines engineering, biology, and medicine to develop innovative healthcare solutions. There is an increasing demand for BME professionals following technological and scientific advances. In Chile, only three universities offer undergraduate BME programs: Universidad de Valparaiso, Universidad de Concepcion, and Universidad de Santiago de Chile. Each institution has defined
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An Audio Encryption Scheme Based on Empirical Mode Decomposition and 2D Cosine Logistic Map IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 Alenrex Maity, Bibhas Chandra Dhara
In this work, we have proposed an audio encryption method. The proposed method is audio signal sensitive as the hash value of the given signal is computed using SHA3-512, which returns a significantly large key of size 512-bit. This key is used to set the different parameters. This work suggests a 2D Cosine Logistic Map (2DCLM) by fusing the Cosine map with the Logistic map. The proposed 2DCLM functions
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Comparison of Modern Deep Neural Networks Architectures for Cross-section Segmentation in Images of Log Ends IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 Felipe Nack, Marcelo Ricardo Stemmer, Maurício Edgar Stivanello
The semantic segmentation of log faces constitutes the initial step towards subsequent quality analyses of timber,such as quantifying properties like mechanical strength, durability, and the aesthetic attributes of growth rings. In the literature, works based on both classical and machine learning approaches for this purpose can be found. However, more recent architectures and techniques, such as ViTs
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Detection of violent speech against women in Mexican tweets using an active learning approach IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 Grisel Miranda-Piña, Roberto Alejo, Eréndira Rendón-Lara, Vicente García
In Latin American and Caribbean States the verbal violence against women on social networks, such as Twitter, is a serious threat that has been addressed through the implementation of social norms, public policies, and social movements. Nevertheless, a challenge is the effective and automatic real-time detection of violent tweets. In this sense, traditional machine learning algorithms have been proposed
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Enhancing Axial Ratio Bandwidth of Dual Band Microstrip Patch Antenna for GSM Application IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 Pooja Sahoo, Pramod K. Singhal, Karuna Markam
The paper objective is to designed circular polarized microstrip patch antenna and enhancing axial ratio bandwidth with improved impedance bandwidth. An antenna is designed using stacking method. The design of the antenna is achieved using two slots on the main radiating patch and one cross slot on the near field resonating parasitic patch (NFRP). The NFRP patch is positioned below the main radiating
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Development of a Smartphone Application and Chrome Extension to Detect Fake News in English and European Portuguese IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 Ricardo Afonso, João Rosas
In a digital society, the truth portrayed by information is crucial in promoting education, security, and evolution. However, fake news raises a significant concern in that regard. Although there has been a continuous effort in the fight against fake news, it is still a multifaceted challenge in constant change as the menace renovates itself. Thus, in our approach, several machine learning and deep
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Assessment of the Economic Viability of Low Power Wind Farms in Mexico IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 REYNALDO IRACHETA CORTEZ, Iridian Karime Angeles Pérez
In this paper, it is presented the methodology for assessing the economic viability of low-power wind farms in Mexico. The main expanses considered as input parameters in the economic model are the capital costs, the operation and maintenance costs and the financial costs. The annual energy production of the wind farm is another input parameter of the economic model that is calculated with the evaluation
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Computational Intelligence Methods Applied to the Fraud Detection of Electric Energy Consumers IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-22 B. de Araujo, H. de Almeida, F. de Mello
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Novelty detection algorithms to help identify abnormal activities in the daily lives of elderly people IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Anita Fernandes, Valderi Leithardt, Juan Francisco Santana
The populations life expectancy is increasing, and this scenario will bring challenges to be faced in the coming decades to provide healthy and inclusive aging. At this stage of life, several common health conditions, chronic illnesses, and disabilities affect the individuals physical and mental health and prevent him from carrying out Activities of Daily Living. In this context, this article presents
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A Comparison Study of Depth Map Estimation in Indoor Environments Using pix2pix and CycleGAN IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Ricardo Salvino Casado, Emerson Carlos Pedrino
This article presents a Deep Learning-based approach for comparing automatic depth map estimation in indoor environments, with the aim of using them in navigation aid systems for visually impaired individuals. Depth map estimation is a laborious process, as most high-precision systems consist of complex stereo vision systems. The methodology utilizes Generative Adversarial Networks (GANs) techniques
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Assessing Human Settlement Sprawl in Mexico via Remote Sensing and Deep Learning IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Antonio Briseño Montes, Joaquin Salas, Elio Atenogenes Villaseñor Garcia, Ranyart Rodrigo Suarez, Danielle Wood
Understanding human settlements' geographic location and extent can support decision-making in resource distribution, urban growth policies, and natural resource protection. This research presents an approach to assess human settlement sprawl using labeled multispectral satellite image patches and Convolutional Neural Networks (CNN). By training deep learning classifiers with a dataset of 5,359,442
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Time frequency distribution and deep neural network for automated identification of insomnia using single channel EEG-signals IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Kamlesh Kumar, Prince Kumar, Ruchit Kumar Patel, Manish Sharma, Varun Bajaj, U Rajendra Acharya
It is essential to have enough sleep for a healthy life; otherwise, it may lead to sleep disorders such as apnea, narcolepsy, insomnia, and periodic leg movements. A polysomnogram (PSG) is typically used to analyze sleep and identify different sleep disorders. This work proposes a novel convolutional neural network (CNN)-based technique for insomnia detection using single-channel electroencephalogram
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Automatic Modulation Classification for low-power IoT applications IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Yasmin R. Mondino-Llermanos, Graciela Corral-Briones
The Internet of Things (IoT) has swiftly become one of the most important technologies in recent years. Radio spectrum access represents a stern challenge for the IoT as a consequence of the increased use of connected devices. This is particularly true for IoT devices operating in the unlicensed band where the huge demand for wireless connectivity will require techniques that use the spectrum efficiently
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Fractional-Order Control for Voltage Regulation in Bidirectional Converters: An Experimental Study IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Juan Gerardo Parada-Salado, Luis M. Martinez-Patiño, Francisco J. Pérez-Pinal, Allan G. Soriano-Sánchez, Alejandro I. Barranco-Gutiérrez, Carina Zarate-Orduño
The theoretical application of fractional equations in controller development is not a new topic. The first efforts on this topic were reported in the late 1970s. However, in the last four years, a greater number of papers related to fractional control have been published than the one accumulated in previous years. Motivated by the above, this paper reports the step-by-step development of this type
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An Isolation Transformer-less Single DC Source fed Dual 5-leg Inverter Controlled 5-Phase Induction Motor with Modified Direct Torque Control IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Venkata Subba Reddy Chagam, Swati Devabhaktuni
A modified hysteresis torque controller is introduced into the direct torque control scheme of a 5-phase open-end winding induction motor, aimed at enhancing steady-state performance by minimizing torque, flux ripple, and current total harmonic distortion (%THD) with the dual 5-leg inverter configuration. The proposed Direct Torque Control (DTC) strategy utilizes a common DC source for both converters
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Evaluation of Solar Panel Bandwidth for RGB Channels in Visible Light Communication IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Roger Martinez, Francisco Eugenio Lopez Giraldo, Jose Martin Luna Rivera, Juan David Navarro Restrepo, Juan David Rojas Usuga
Visible light communication (VLC) is an emerging technology that uses white light-emitting diodes (LEDs) to transmit information and provide illumination simultaneously. Recently, solar panels have been proposed as optical detectors at the receiver to retrieve data from light signals. However, very few studies have addressed the behavior of the solar panel bandwidth at different wavelengths. In this
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Bioethanol production optimization by direct numerical methods and evolutionary algorithms IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Cecilia Fernández, Nadia Pantano, Carla Groff, Rocío Gil, Gustavo Scaglia
This paper develops a dynamic optimization methodology based on direct numerical methods, for the bioethanol fed-batch production from glucose and fructose as a substrate. The mathematical model that governs the process consists of six differential equations and is highly nonlinear. The proposed strategy uses the Fourier trigonometric basis and normalized orthogonal polynomials for substrate feeding
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Optimal Control and Grasping for a Robotic Hand with a Non-linked Double Tendon Arrangement IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Erick J. Sánchez-Garnica, Liliam Rodríguez-Guerrero, Rocío Ortega-Palacios, Omar Jacobo Santos-Sánchez
After comparing different robotic hand projects, a problem is identified: when a finger has a degree of freedom, the hand is unable to grasp irregularly shaped objects. This article proposes a solution. The use of a non-linked doubletendon arrangement in the fingers allows them to have free movement; coupled with the use of Inertial Measurement Units to determine its position, ensures that, despite
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RA4Self-CPS: A Reference Architecture for Self-adaptive Cyber-Physical Systems IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Marcos Paulo de Oliveira Camargo, Gabriel dos Santos Pereira, Daniel Almeida, Leandro Apolinario Bento, William Fernande Dorante, Frank Jose Affonso
Cyber-Physical Systems (CPS) represent an evolution of embedded systems by the computational elements interacting with physical entities through a network. Self-adaptive Cyber-Physical Systems (Self-CPS) present specific features compared to traditional CPS because this type of system can deal with changes at runtime. In parallel, Reference Architectures (RA) enable reusable artifacts that aggregate
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Battery Allocation and SOC in Distribution Systems Considering Temperature Constraints IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Maria Elisa Fernandes Octaviano, Eduardo Mendes Loureiro, Leandro Ramos de Araujo, Debora Rosana Ribeiro Penido de Araujo
This paper proposes a method for allocating and controlling batteries' state of charge in unbalanced distribution systems. Restrictions related to the depth of discharges and the relation between the nominal and operating capacity of the battery in relation to the operating temperature are proposed. The proposed optimization set is a mixed integer nonlinear with temporal coupling, so the genetic algorithm
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Review of Bidirectional DC-DC Converters and Trends in Control Techniques for Applications in Electric Vehicles IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Erik Martinez-Vera, Pedro Banuelos-Sanchez
This paper comprehensively reviews bidirectional DC-DC converters and their control techniques for Electric Vehicle applications. A classification is proposed based on the three power ratings levels of the SAEJ1772 standard. Circuit topologies are compared based on power rating, switching frequency, static voltage gain, operating modes, number of components and power switch material. High switching-frequency
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Design and Comparative Analysis of THz Antenna through Machine Learning for 6G Connectivity IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Rachit Jain, Vandana Vikas Thakare, Pramod Kumar Singhal
The rise of sixth-generation (6G) technology has become increasingly necessary to meet the growing demand for high-speed internet and the continuous advancements in technology. The development of an optimal antenna design is crucial to attain the required performance and capabilities. Traditional electromagnetic modeling approaches for antenna design are, however, time-consuming and computationally
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Navigation of mobile robots using neural networks and genetic algorithms IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 David Abad Perez, Basil Mohammed Al-Hadithi, Victor Cadix Martin
The navigation of robots has been a subject of widespread interest over the last few decades. In the previous years, traditional methods based on mathematical equations were used, and there has been an evolution towards the use of methods based on artificial intelligence. Two of which have been used in this work: neural networks and genetic algorithms. Neural networks are used as a machine learning
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GeneConnector: Unlocking the full potential of Genbank metadata IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Samuel Galvao Elias, Debora Cervieri Guterres, Robert Weingart Barreto, Helson Mario Martins do Vale
Genbank currently stands as one of the most significant global repositories of genetic information. However, despite its vast quantity and diversity of data, a considerable portion of the existing records suffer from disjointed and often lacking metadata, failing to provide the necessary context of their acquisition. In light of this, we propose GeneConnector, a tool that harnesses shared information
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DyFusion: Cross-Attention 3D Object Detection with Dynamic Fusion IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Jiangfeng Bi, Haiyue Wei, Guoxin Zhang, Kuihe Yang, Ziying Song
In the realm of autonomous driving, LiDAR and camera sensors play an indispensable role, furnishing pivotal observational data for the critical task of precise 3D object detection. Existing fusion algorithms effectively utilize the complementary data from both sensors. However, these methods typically concatenate the raw point cloud data and pixel-level image features, unfortunately, a process that
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Dynamic Multimachine Modeling and Optimal Tuning of Automatic Generation Control IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Jose Enriquez, Jaime Cepeda, Oscar de Lima
This article describes the control scheme of an actual SCADA/EMS AGC (Automatic Generation Control) function and proposes a methodology for tuning the parameters of both generation units and AGC control systems. AGC tuning is split into two stages: unit control logic parameters and AGC system. In order to determine the optimal parameters, the application of a heuristic optimization algorithm, named
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Output Regulation for Descriptor Systems with High-Gain Observer Used as Exosystem for Unmodeled References IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Tonatiuh Hernandez-Cortes, Miguel Amador-Macias, Ricardo Tapia-Herrera, Jesus Meda-Campana
This paper is oriented to solve the output regulation problem for descriptor systems on the basis of the modified Francis equations, for arbitrary reference signals by means of High-Gain Observer as a dynamical model, where its outputs corresponds to the references to follow and the disturbances to reject involved in the regulation problem. In this way, the regulation of unmodeled but measurable reference
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Analysis and Virtual Validation of Vehicle Dynamics Models for Electronic Stability Control IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Lucas Alves Torres, Andre Murilo, Renato Vilela Lopes, Vinicius Leal
This work investigates the utility and efficiency of simplified vehicle dynamics models in the Electronic Stability Control (ESC) context. The focus is not merely on the correlation between simplified and complex models but on the added value such models can bring to the automotive industry. By comparing the simplified models based on bicycle representation with a high-fidelity VI-CarRealTime (VI-CRT)
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Performance Evaluation of Urban Traffic Using Simulation: A Case Study in Brazil IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Flavio Vasconcelos Pais, Bruno Nogueira, Rian G. S. Pinheiro
As a result of a fast-growing population, an increasing number of vehicles on the road, and inadequate public policies, metropolitan areas in Latin America are dealing with significant traffic congestion problems. Most cities do not have real-time urban traffic control systems. Therefore, the use of simulation software is a cost-effective solution to evaluate and reduce congestion in metropolitan areas
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Experiments with a holographic radar based on Software Defined Radio IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Marcelo Perotoni, Marcos Vieira, Rafael Bartolleti
The development of radar applications usually involves a complex set of different components, which can be costly and sometimes require careful handling. By concentrating most of the radar tasks into a software-defined radio, the hardware burden is alleviated, while the processing can be efficiently developed using open-source software suites. This article describes the development of a prototype radar
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Mapping the Landscape of SLAM Research: A Review IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Jeremías Gaia, Eugenio Orosco, Francisco Rossomando, Carlos Soria
Multiple publications have arisen from over three decades of research in the field of simultaneous localization and mapping (SLAM), overwhelming those who wish to delve into this area. The extensive body of work in SLAM has resulted in an abundant and, at times, confusing flow of data, lacking a straightforward explanation of the underlying principles. This article aims to address this issue by providing
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Novel Range Wise Optimization of the Exponential Bounds on the Gaussian Q Function and its Applications in Communications Theory IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Aditya Powari, Garv Anand, Dharmendra Sadhwani
This paper presents a novel and highly effective method for improving the accuracy of approximations for the Gaussian Q function. By rigorously optimizing the coefficients of the approximations using the interior point optimization technique, significantly tighter bounds are achieved with simplicity intact. The proposed approach, which is applicable to a wide range of scenarios, focuses on enhancing
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ISD2K reference model to represent an information system oriented to knowledge production IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Marco Fidos, Mauricio Ferreira
The generation of knowledge (K) is a continuous and necessary effort for human evolution. Electronic records have enabled data processing, storage, and transfer to extend and accelerate this evolutionary effort. Electronic systems have been created to automate and record data from a process, for governments, organizations, and even for individuals. The expansion of these systems and the gradual increase
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Remainder with Threshold Substitution Data Hiding Scheme: Counterexamples and Modification IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Gürcü Öz, Alexander Chefranov
A well-known data hiding scheme, Remainder with Threshold substitution (RT), is analyzed. RT uses a threshold value, T, and two moduli numbers, mu, and ml, ml
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The probabilistic behavior of the set and reset thresholds in Knowm's SDC memristors: Characterization and Simulation IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Gerardo Abel Laguna-Sanchez, Miguel Lopez-Guerrero, Ricardo Barron-Fernandez
This paper presents a proposal for the characterization of the set and reset thresholds for Knowms SDC memristors. The purpose is to incorporate the variability of the hysteresis cycles within the Generalized Mean Metastable Switch (GMMS) memristor model and, in this way, be able to perform simulations that reproduce these phenomena in a meaningful and computationally efficient way. We depart from
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Long-Term Effects of Degradation on Photovoltaic System Return on Investment IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Juan Cuadrado, Elizabeth Martinez, Edwin Puertas, Juan Carlos Martinez-Santos
The adoption of photovoltaic (PV) systems has increased significantly in recent years, driven by the demand for off-grid and on-grid residential and commercial applications. However, the high initial investment required for PV installations has limited their widespread adoption. Governments and marketing enterprises have implemented different strategies to promote PV systems to overcome this barrier
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Artificial Intelligence based Faults Identification, Classification, and Localization Techniques in Transmission Lines-A Review IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Shazia Kanwal, Somchat Jiriwibhakorn
An overview of the many methods used for fault detection, classification and location in the power system, particularly in transmission lines, is provided in this review, it also includes an experimental result of adaptive neuro-fuzzy inference system -based fault detection , fault classification and fault location. Being in operation outdoor environment, transmission lines are more vulnerable to various
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An IoT Ground Station: Mechanics, Control, Antenna, and Reception from a LoRa Satellite Network IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Juvenal Villanueva Maldonado, José Luis Alvarez Flores, Marco Cárdenas Juárez, Jorge Flores Troncoso, Jorge Simón Rodríguez
In this article, the design and the integral implementation of a satellite ground station connected to the Internet of Things is presented. The communication system is based on long-range wireless technology, with the objective of receiving telemetry packets from a network of low-arth orbit satellites that transmit at frequencies around 433 MHz. The design covers mechanical design aspects, the control
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SpuR - A system for spectral signature recognition of chipless RFID tags using Software-Defined Radio IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-19 Marcelo Frate, Robson João Gregório Rodrigues, Gilberto de Tadeu Santos Souza, Euclides Lourenço Chuma, Leonardo Lorenzo Bravo Roger
To solve problems related to Radio Frequency Identification, as well as to develop new technologies and applications with chipless RFID tags, this article describes the development of an innovative reader system based on Software-Defined Radios. Called SpuR, the system proposes a method of reading the spectral signature of RFID tags chipless, using general purpose hardware, reconfigurable by software
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Defining Routes for Emergency Response from Climate Events: a Data-oriented Approach IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-19 Luis Felipe Oliveira, Daniel Oliveira, Yuri Frota
Extreme Events have recently become a topic of interest mainly due to the impacts of climate change worldwide over the last years. Such events commonly have a severe impact on major cities. Especially in Brazilian cities, the combination of climate change and unplanned urban growth on steep slopes has led to floods and landslides that killed thousands of people over the past decade. Once an extreme
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Modeling and Analysis of a Telesurgery Environment Using Stochastic Petri Nets IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-19 Vamberto Rocha, Jean Araujo, Bruno Nogueira, Ermeson Andrade
Over the past few years, surgeries performed by robots have increased considerably. For telesurgery (or remote surgery) to be performed satisfactorily, synchrony between the robot and the communication links is essential. However, no studies analytically evaluate these remote surgery environments or calculate the probability of delivering messages when such surgeries are performed between two hospitals
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Advanced Metering Infrastructure for Industrial Natural Gas Smart Management IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-19 Everton Camoleze de Araújo, Nelson Camilo de Almeida, Eduardo Paciencia Godoy
One of the challenges within the utilities sector is the development of robust, scalable and low-cost methods for the remote management of customers usage and billing. Considering the advances related to the Internet of Things (IoT), an Advanced Metering Infrastructure (AMI) is the basis for utilities smart management. This AMI bring together the automation of remote metering and communication infrastructures
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Trajectory planning technique based on curved-layered and parallel contours for 6-DOF deposition IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-19 Juan C. Guacheta-Alba, Sebastian Gonzalez, Mauricio Mauledoux, Oscar F. Aviles, Max Suell Dutra
The manufacture of solids using material deposition has boomed in recent years, and its use has grown steadily, generating challenges to improve printing. In addition, new mechanisms of six degrees of freedom have been designed focused on manufacturing parts, creating problems such as their trajectory planning. Therefore, this paper presents a new path-planning methodology based on the contour-parallel
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Glaucoma Grading Using Multimodal Imaging and Multilevel CNN IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-19 Marcos Melo Ferreira, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Anselmo Cardoso Paiva
Glaucoma is considered the leading cause of blindness. Because there is no cure for the disease, treatment must begin promptly to prevent disease progression, which leads to severe visual impairment and, in some cases, total blindness. In this scenario, diagnosis in the early stages is essential and could be accomplished through screening exams. Recent studies have combined fundus images and Optical
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Methodology evaluation: Inclusion of end users in user-centered development process IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-19 Luis Roberto Ramos Aguiar, Francisco Javier Álvarez Rodríguez
User-Centered Design (UCD) has taken great relevance in software development since it allows to know characteristics and particularities of the end users to whom the system is addressed, generating applications with great acceptability. Consequently, many software development methodologies decide to implement this approach, however, it is important to perform evaluation processes to ensure compliance
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The Joint Application of Photovoltaic Generation and Distributed or Concentrated Energy Storage Systems in A Low Voltage Distribution Network: A Case Study IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-19 Rafael Leite, Mário Oleskkovicz
Over the last decades, Distributed Generation (DG)was presented as a possible alternative for integrating renewable energy sources into the electrical system. This resulted in the continuous growth of the investment and interest of small consumers in acquiring ways to generate their energy through mini distributed generation. However, with the high DG penetration in Low Voltage Distribution Networks
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Probabilistic Optimal Power Flow in Large-Scale Electric Transmission Systems through a Matheuristic Solution Approach IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-19 Wmerson Claro de Oliveira, Jairo Gonzalo Yumbla Romero, Lucas do Carmo Yamaguti, Juan Manuel Home Ortiz, Jose Roberto Sanches Mantovani
This paper proposes a new optimization methodology to solve the AC optimal power flow (OPF) problem considering renewable energy sources (RES). The formulation of the OPF problem comprises the minimization of power generation costs and gas emissions considering a set of operational and physical constraints. This minimization is achieved through controlling power dispatch generators, position changing
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Design and Modeling of a High Current Ratio Converter for PV Applications IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-19 Iván Alfonso Reyes-Portillo, Jorge Morales-Saldaña, Claudia Romero-Rivera, Elvia Palacios-Hernández
In photovoltaic systems, the use of DC/DC converter is necessary to provide wide transformation ranges on voltages and currents, as well as, the capacity to supply currents higher or lower than the supply current provided by the photovoltaic modules. Another aspect that converters must satisfy is associated with load consumption requirements such as high current levels for applications such as LED
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An improved Soft Actor-Critic strategy for optimal energy management IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-14 Bruno Boato, Carolina Saavedra Sueldo, Luis Avila, Mariano De Paula
The transition from the current electrical grid to a smart, sustainable, efficient, and flexible electrical grid requires detecting future capabilities in order to have a system that can monitor, predict, learn, and make decisions on local energy consumption and production in real-time. A microgrid with these characteristics will allow the integration of distributed renewable energy systems efficiently
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Control proposal for photovoltaic inverters with reactive power supply for voltage stability during momentary sags and in steady state IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-14 Luccas Soares, Arthur Souza, Anderson Piccini, Ivan Santos
This work aims to present a control proposal for dual-stage photovoltaic inverters to supply reactive power aiming at voltage stability in steady state and during short-term momentary sags. For this, a study was carried out on the control and modeling techniques of the DC/DC and DC/AC converters of the photovoltaic generating unit, in addition, a modified MPPT algorithm was implemented that, together
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Electric Vehicle Charging Station Based on Wind Energy: Evaluation of the Power Profile for Vanadium Redox Flow Batteries Estimation IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-14 Pedro Fornaro, Thomas Puleston, Paul Puleston, Pedro Battaiotto, Ramon Costa-Castelló, Maria Serra-Pratt
This paper considers an electric vehicle charging station based on the combination of a wind turbine, as a primary power source, and a vanadium redox flow battery (VRFB), as an energy storage system. The latter plays a key role in the application under study, storing the intermittent power produced by the turbine and timely dispatching it when demanded. To guarantee VRFB proper operation, it is necessary
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Green Computing for Energy Transition: A Survey IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-14 Thalita Nazaré, Josefredo Gadelha, Erivelton Nepomuceno, René Lozi
The global information technology (IT) industry accounts for approximately 2% of the world's greenhouse gas emissions, equivalent to the aviation industry's emissions. Moreover, IT energy consumption is projected to increase by 5% annually, and the industry is expected to consume 21% of the world's electricity by 2030. Therefore, there is a growing urgency to develop and implement sustainable computing
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Input vector selection in NARX models using statistical techniques to improve the generated power forecasting in PV systems IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-14 Eduardo Rangel-Heras, Nun Pitalúa-Díaz, Pavel Zuniga, Esteban A. Hernandez-Vargas, Alma Y. Alanis
This paper uses collinearity and causality tests to choose variables for an input vector to forecast the electrical power generated by a photovoltaic system. The collinearity test determines redundant variables, and the causality test determines which variables cause the electric power. The chosen input vector is used to train nonlinear autoregressive models with external inputs neural networks (NARX-NN)
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Stability analysis of a Networking DC microgrid with distributed droop control and CPLs IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-14 Marco Carnaghi, Paula Cervellini, Marcos Judewicz, Rogelio Garcia Retegui, Marcos Funes
Networking direct current microgrids (DCMGs) have gained interest in the pursuit of achieving higher integration of renewable energy sources (RESs) and improving system resilience and reliability. The highly cooperative nature of these MGs is an advantage in order to maximize the RESs utilization and minimize grid power demand. However, ensuring stable and robust operation in the presence of significant
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Development of an Electromagnetic Energy Harvesting System Based on a Current Transformer for Use in Industrial Electric Motors IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-14 Luiz Oliveira, Pedro Chaves, Ana Mozena, Omar Branquinho, Flávio Morais, Leandro Manera
Predictive maintenance systems for industrial electric motors are being developed using electronic sensors and wireless communication systems incorporated into ultra-low consumption electronic circuits. If the electronic circuit is ultra-low consumption, a simple low-capacity rechargeable battery can power the system for years. However, the use of batteries on a large scale contributes to environmental